Research Projects
 

Micro and Nano Sensors

Funded by the German Research Foundation (DFG) as part of the Collaborative Research Center (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies, duration: 2/2020 - 2/2022 (48 months)

Partners: TUC measurement and sensor technology, TUC sports equipment & technology

Aim: The project aims at the systematic elaboration of a methodology such as custom biomimetic BASNs for real-time detection of BGC and complex gestures based on novel sensor principles based on polymeric carbon nanotube composites (PCN) and high sensitivity to pressure and load along with custom machine learning algorithms can be set up. The fundamental investigation establishes the basis for building a simulation environment to adapt and optimize the design of BASN and to determine the minimum number of sensors and their position in the human body by reducing dimensionality, while maintaining a defined level of accuracy and robustness in the detection of upper body gestures is achieved.

Funded by the European Union as part of the M-Era.Net program, duration: 06/2020 - 12/2023 (42 months)

Partners: TUC measurement and sensor technology, TUC lightweight construction and plastics processing, Luxembourg Institute of Science and Technology, Technical University of Liberec

Goal: The goal of CENTAUR is the development of a family of functional materials based on oxide ceramic matrix composites (CMC), which are reinforced with oxide ceramic fibers and carbon nanostructures. The new material comes with built-in sensing capabilities and can be manufactured using 3D printing processes, allowing for continuous in-line reinforcement while controlling fiber orientation. The thermo-mechanical and durability properties are improved (fracture resistant, thermal shock resistant, quasi-ductile, corrosion resistant) at lower density (e.g. than Ni superalloys). The material can be used as a primary structure in high-temperature applications (withstanding temperatures up to 1350°C) for on-line and non-invasive process inspections such as structural health monitoring. In the TRL4, two functional prototypes for the aerospace and automotive sectors will be manufactured and validated, including improved software to model the mechanical properties and further optimize the mechanical and sensory performance.

Funded by the Federal Ministry of Agriculture and Food (BmLE), duration: 2020 - 2023

Partners: TUC measurement and sensor technology, kessler engineering GmbH, Gummiwerk KRAIBURG Elastik GmbH & Co. KG, FFI GmbH, Institute for Bioprocess and Analysis Measurement Technology e.V.

Aim: In this project, an intelligent mat is to be developed that records pressure distribution with precise nanocomposite sensors in order to draw conclusions about hoof diseases. Using intelligent signal processing, healthy and diseased claws are to be differentiated and the animals assigned via transponders in order to monitor the state of health through field measurements. All relevant data is stored in a cloud so that veterinarians and hoof trimmers can check the course of the animals' disease at any time. Early diagnosis and treatment of hoof diseases significantly reduces lameness-related losses, losses in milk yield and calving, and greatly minimizes unnecessary animal suffering.

Funded by sponsors: 15/06/2021-31/05/2024

Partners: TUC- Measurement and Sensor Technology (Germany), TUC- Professorship for Lightweight Structures and Plastics Processing (Germany), ?zmir Katip Çelebi University (Turkey), University of Sao Paulo FFCLRP (Brazil), Bavi Plastic Ltda. (Brazil)

Objective: In (SmartHoub), a novel, functional, smart battery packaging technology is developed based on a hybrid laminate material system that combines printed electronics with lightweight structural composite and metal layers. The hybrid laminate will offer a high strength-to-density ratio, meaning a 40% weight reduction compared to steel. Integrating the sensor matrix and the interconnects into the housing will help estimate the internal temperatures of the battery cells without the need for discrete sensors on/in the cells - this enables about 5% lower costs per battery pack and thus a high economic and environmental benefit. Specifically, it aims to show that using this laminate in battery packs allows individual cell temperatures to be estimated within 1ºC at a cost of around €0.2 per battery cell, avoiding the installation of separate temperature sensors and their wiring in/on the battery cells. This significantly improves battery efficiency and safety and can pave the way for intelligent and safe battery management and diagnostics.

Funded by the Central Innovation Program for SMEs (ZIM), duration: 06/01/2022 - 05/31/2024

Partners: TUC measurement and sensor technology, Mosca electronics and drive technology GmbH, Hammerich Orthopädie GmbH Wismar

Aim: The aim of the project is to develop a new type of intelligent, durable insole with multi-sensors (10-20) for precise foot pressure measurement in the range of 5-800 kPa. For this purpose, a dispersion process for the production of ultra-thin CNT sensors with a layer thickness of 350-400 µm is being developed. This enables the realization of a very deformable and stretchable insert with high wearing comfort. In order to achieve high conductivity, contact electrodes are developed with a special screen printing mask. In addition, special insoles are developed to redistribute pressure and to reduce pressure peaks, so that the user's feet, joints, etc. are less stressed. Other goals are the washability of the sole and low power consumption, which is to be achieved through an energy recovery system. Electroactive polymers are used for this purpose, which can generate electricity when deformed by foot pressure. With the help of the intelligent insole for foot pressure detection, overloading, which can lead to diabetic foot ulcers, should be detected in good time, thus saving many patients great suffering and costs.

Funded by the Central Innovation Program for SMEs (ZIM), duration: 08/01/2022 - 07/31/2024

Partner: TUC measurement and sensor technology, Motz GmbH

Objective: The "SensoMat" project aims to develop a novel intelligent modular mattress with a matrix of sensors (1,089) for precise monitoring of pressure ulcers and decubitus. For this purpose, a dispersion method is developed to produce an ultra-thin sensitive layer based on CNT sensors with a layer thickness of 150-250 μm. The electrode matrix is screen printed onto a thin PET film, which is later integrated with the sensitive layer. The measuring principle of the pressure sensor is piezoresistive. The mattress has a modular structure with dimensions of 50 x 50 cm², which allows the realization of customizable sizes. The intelligent mattress is equipped with high-speed sensor electronics that can capture sensor data at a rate of 120 Hz and transmit it to a digital tool for real-time visualization and haptic feedback. The intelligent mattress enables early diagnosis of pressure sores and bedsores in bedridden patients and protects them from further medical complications.

Funded by the Central Innovation Program for SMEs (ZIM), duration: 03/01/2023 - 02/28/2025

Partners: TUC- Mess- und Sensortechnik, Hydrostat International GmbH Energy Absorbing Devices + Service, ElektroSolid GmbH

Aim: The aim of the project is the development of a novel strain gauge (5.5 MOhm, k-factor > 10) based on nanoparticle-polymer composites and associated measurement electronics for the autonomous acquisition, storage and release of data for the life cycle monitoring of viscoelastic dampers in rail vehicles . The effect of various forces in the range of 200-2000 kN causes deformation of the cylinder surface of the damper. The changes to be understood as strains are to be recorded with the new type of strain gauge and, through the development of suitable methods, allow conclusions to be drawn about the state of wear of the damper. By placing the measuring system on the damper surface, all components involved have to withstand harsh environmental conditions (rain, snow, road salt) and large temperature differences (-40 - 80 °C) and have a small size of 50 x 50 x 30 mm (LxWxH). Since all events affecting the damper are to be recorded, a high measuring frequency (25 ms) must be implemented. In order to keep the resulting data load as low as possible, compression methods for data reduction are being developed.

Funded by the Central Innovation Program for SMEs (ZIM), duration: 02/01/2023 - 01/31/2025

Partners: TUC measurement and sensor technology, VELA Performance GmbH, Entiac GmbH

Aim: The aim of the Carbon-RFID project is to develop a novel intelligent wireless strain sensor for the precise measurement of strains in lightweight structures in the micro-strain range (0.1-2%). For this purpose, a dispersion method is developed to fabricate a hybrid nanocomposite carbon nanotube/graphene oxide/PEDOT:PSS-based patch antenna with FR-4 substrate and Cu ground plane. The overall thickness of the patch antenna is about 500-530 µm. The mechanical behavior of the RF antenna depends on the change in resonant frequency caused by the change in strain of the patch material when strain is applied to the material. Due to the tunability of the hybrid nanocomposite, the properties of the patch antenna can be adjusted in a similar way despite different dimensions. In order to be able to monitor the patch antenna wirelessly, a communication box for RFID readers is developed and an RFID chip is integrated into the patch antenna. With the help of the patch antenna and the RFID communication box for readers, the deformation behavior of vehicle structures in the micro-expansion range can be measured for the first time in order to avoid damage at an early stage.

Novel sensors and measurement methods based on impedance spectroscopy

Funded by the German Research Foundation as part of the priority program 2183: Property-controlled forming processes, DFG project number: 424334154, duration: 3/2020 - 2/2024 (48 months in the 1st and 2nd funding phase)

Partners: TUC measurement and sensor technology, TUC virtual production technology

Aim: The project (SPP 2183) aims to develop a novel control strategy for the incremental forming process of projecting. The basic concept consists of the determination and targeted setting of the target strength of rotationally symmetrical components during forming. A multi-sensor system is used for this, which consists of a magnetic field sensor with integrated temperature and distance measurement. In addition to the targeted adjustment of component properties, it is also possible to react to external influences such as batch fluctuations or irregularities in the sheet thickness during forming.

Funded by the Federal Ministry of Economics and Climate Protection (BMWK), project number: 03EI3019B, duration: 1/2021 - 12/2023

Partners: TUC measurement and sensor technology, Gossen Metrawatt GmbH, AMAC GmbH

Objective: ImpTest is an innovative system for monitoring and evaluating the condition of batteries used in electric vehicles and energy storage systems. ImpTest is based on measuring impedance, a parameter that reflects the electrical properties of a battery. Through cloud-based analysis of impedance data, ImpTest can track a battery's life cycle, determine its state of charge and health, and identify potential faults or deterioration early on. ImpTest thus offers a reliable and cost-effective solution for managing battery fleets in various application areas. The heart of the battery tester is an impedance-based battery measurement module that can be configured as a modular plug-in or as a measurement card in battery testers or used as separate measurement hardware in a stationary energy storage system.

The main goal of the ImpTest project is to develop a mixed-signal ASIC (Application-Specific Integrated Circuit) that allows measuring current and voltage at different frequencies to calculate impedance with high resolution. The project is divided into several work packages, including requirements analysis, system specification, fundamental research on impedance spectroscopy for battery tests, development of the battery test module, development and manufacture of the battery test ASIC, development of the battery tester and redesign of the tester assemblies.

Funded by the European Social Fund Plus (ESF Plus) and the Free State of Saxony, 1/2023 - 12/2024

Partners: TUC-Alternative vehicle drives, TUC-Business administration - operational environmental economics and sustainability, TUC-Electrical energy conversion systems and drives, TUC-Energy and high-voltage technology, TUC-Measurement and sensor technology, TUC control technology and system dynamics, TUC-Technical thermodynamics

Aim: HZwo-StabiGrid aims to integrate hydrogen systems into the power grid. Two main goals are being pursued: firstly, to reduce the risk of grid failures and secondly, to make a positive contribution to the energy transition through the use of hydrogen as an energy source.

In order to ensure grid stability in the course of the energy transition, we are researching in the project the performance that green hydrogen-based energy storage systems must have in comparison to traditional storage systems. In particular, we are investigating the extent to which hydrogen systems and their converters can meet the requirements of power grids with more than 80 percent renewable energy and thus take on the role of energy storage. We are thus making a fundamental contribution to the discussion about the development of energy conversion systems for renewable energies. In addition, our junior research group is developing a guide describing the risk of grid instability for different combinations of power generation plants and energy storage systems with grid-connected or grid-forming inverters. In addition to the research performance, the team also wants to devote itself to technology transfer. For this purpose, suitable formats are to be developed together with the Saxon Competence Center for Hydrogen and Fuel Cells and cooperation with industrial partners is to be established.

Electrochemical sensors

Funded by the European Commission, duration: 1/2023 - 12/2025 (36 months)

Partners: TUC - Mess- und Sensortechnik, Center for Research on Microelectronics and Nanotechnology (CMRN), Sousse, Tunisia, Laboratory of Microelectronic Technologies (LTM), Grenoble, France, Universidad Politécnica de Madrid (UPM), Spain

Objective: The Center for Microelectronics and Nanotechnology Research CRMN has already acquired various equipment for physico-chemical characterization of nanomaterials (such as SEM, AFM, etc.) and is currently in the process of building a 120m² clean room and acquiring various equipment for micro - and nanofabrication. The aim of the project is for CRMN to strengthen the activities of the sector by providing services and promoting innovative research projects. The partnership project contributes to strengthening the capacities of the CRMN's scientific, technical and administrative staff to become a key player in its field of activity. MST's contribution to support technology transfer and research valorization in the field of sensors. Through PRIMiNaS, the CRMN is to be supported in taking a big step towards responsible research and innovation that takes into account societal challenges related to the development of nanotechnology (education, safety, etc.).

Funded by the German Research Foundation (DFG), duration: 1/2021 - 12/2023 (36 months)

Partner: TUC - measurement and sensor technology, Tomsk University (Russia)

Objective: Pesticides are among the problematic pollutants found in water, food and soil as they accumulate in the environment and pose a serious risk to humans. The gold standard approaches of analytical chemical detection are expensive and laborious. Electrochemical methods (EC), such as B. the impedance spectroscopy and the voltammetric methods are inexpensive and quantitative, are often used in analytical chemistry, but usually have a low selectivity. Surface-enhanced Raman spectroscopy (SERS) is highly sensitive and detects chemical "fingerprints" of molecules, but faces critical challenges when it comes to performing quantitative analysis. The combination of the two measurement principles in one measurement method offers the possibility of gaining more specific and quantifiable information about complex analytes, improving sensitivity and realizing synergy effects. However, it presents some challenges due to the expected dependency of the two methods. The electric potential affects surface properties, ion concentration, and charge transfer between analytes, thereby also affecting SERS enhancement. The photoinduced effects, such as photocatalytic reactions on plasmonic surfaces, can generate new products that offer new opportunities to obtain additional information about the complex mixtures by analyzing these products electrochemically. In this project, the combination of EC methods with SERS for the ultrasensitive label-free detection of analytes in complex mixtures will be investigated. It aims to answer fundamental questions raised by this dual-sensing approach regarding feasibility, configuration, prospective specificity and quantification limits in depth and to identify synergistic effects and mutual influences in pesticide detection. The knowledge acquired should form the basis for novel and cost-effective portable, highly specific and ultra-sensitive sensor systems.

Funded by the German Research Foundation (DFG), duration: 2/2020 - 1/2023 (36 months)

Partners: TUC measurement and sensor technology, TUC semiconductor physics

Objective: Graphene oxide (GO) can be used to implement multifunctional sensors due to its sensitivity to various measured variables. It has the decisive advantage of quick and easy production as an ultra-thin layer, since it can be structured and functionalized by laser writing. By varying the laser parameters, the degree of reduction can be adjusted in order to change the electrical properties, such as the band gap, in a defined manner. The sensing characteristics can be set to a specific quantity or range of measurement. The main goal of PHOTOSENS is to investigate the possibility of tuning the electronic properties, i.e. work function and band gap, of GO layers by laser reduction in order to improve their elongation and photosensitivity. For this purpose, in-plane heterostructure patterns of GO layers with thicknesses from a few nanometers to hundreds of nanometers are realized with the laser.

Funded by the Central Innovation Program for SMEs (ZIM), duration: 6/2021 - 12/2023 (30 months)

Partners: TUC measurement and sensor technology, Hegewald Medical Products GmbH, Lichtenberg, Germany

Aim: Development of a miniaturized combined biomass, pH and oxygen sensor that will be integrated into scalable single-use bioreactors. As part of the project by TUC and Hegewald Medizinprodukte GmbH (HMP), a miniaturized combined biomass, pH and oxygen sensor is to be developed, which will be integrated into scalable single-use bioreactors. Controlled growth of cells, bacteria or other viable biomass in a bioreactor is necessary to verify and validate the development results. During growth, the growth conditions should be controlled and reference measurements must be made to compare the results from the sensors with well-defined reference values from commercial sensors.

Wireless sensors and energy harvesting

Nitramon is funded by the SAB from European funds, duration 7/2018-6/2021

Partners: TUC measurement and sensor technology, TUC numerical mathematics, TUC control technology and system dynamics, TUC supramolecular chemistry

Aim: The focus of the research project lies in the implementation and investigation of a sensor system for the detection of nitrate and measurement of the nitrate concentration. In addition, a self-sufficient sensor network is to be developed with which it is possible both to supply the nitrate sensors with ambient energy, for example from sunlight or temperature gradients, and to continuously record the sensor data and wirelessly transmit it to a central location for evaluation.

With the developed sensor concept, a continuous monitoring of nitrate in the soil is possible. Due to the self-sufficient energy supply, the sensor system works maintenance-free and efficiently. A field or farm-related assignment of nitrate input is possible through suitable placement of the sensors and a suitable measuring point density. This sensor thus serves both as a control instrument both for farmers to evaluate the soil conditions as a basis for determining the fertilizer requirements for the respective crop and the necessary nutrient input and for the responsible environmental authorities to evaluate the nitrate content in soil to protect water bodies and comply with the rules on fertilization according to good professional practice, e.g. B. Compliance with distances to water bodies or fertilization black-out periods. This needs assessment results in cost savings through optimal fertilization while protecting the soil at the same time.

Funded by BmWi, duration 2020-2022

Partners: TUC measurement and sensor technology, JG special products GmbH, aiXtrusion GmbH, IPM Industrieprodukte Meissner GmbH

Aim: The aim of the project is the development of a system for innovative wear monitoring of chain links and slide rails in chain conveyor systems based on an energy self-sufficient, miniaturized sensor element. This is to be integrated directly into a new type of conveyor chain link and, for the first time, continuous online monitoring of the condition of chain conveyor systems to determine the progress of wear is to be carried out by means of contactless energy transmission and wireless data exchange.

Funded by BmWi, duration 2020-2022

Partners: TUC measurement and sensor technology, Fraunhofer Institute for Microelectronic Circuits and Systems IMS, Society for Electronics and Design mbH

Objective: The diverse fields of application of IoT (Internet of Things) make it difficult to generalize products in the sensor technology sector. Many multi-sensor systems are designed for a specific application. The project consortium wants to counteract this situation with an innovative sensor solution. A fully customizable multi-sensor platform is to be developed, which is controlled by a specially developed artificial intelligence (AI). Based on a modular principle, the customer can decide for himself and put together which sensors and functions are decisive for him. This makes it possible to cover a large range of applications in the IoT sector with one product. Furthermore, the energy supply of the multi-sensor platform should be self-sufficient via a likewise customizable energy harvesting technology and the data should be processed locally using a specially developed embedded AI without uploading to a cloud being necessary. In addition, the multi-sensor platform is offered as a miniature solution that is 2-3 times smaller than other current solutions, while still being offered at a price that is at least 50% lower than competing products.

Micro and nano sensors

Funded by BMWi and TU Chemnitz, duration: 1/2020-12/2021 (24 months)

Partner: TUC measurement and sensor technology

Goal: The goal of the project is a flexible, durable and battery-free wireless sensor based on nanomaterials, such as e.g.  carbon nanofiller to develop in the form of a patch antenna. Using nanomaterials, sensitivity, resolution and interrogation distance can be significantly improved. The RFID patch antenna sensor is optimized with regard to reproducibility and compensation of cross-sensitivities. A complete system solution is to be implemented by developing a suitable reader for reading the sensor. With this system, the advantages of the nanocomposite material are to be demonstrated and the marketing of an own patent is to be promoted.

 

Printexray, funded by the BMWi as part of the IGF program, project duration: 08/2018 -06/2020

Partners: TUC measurement and sensor technology, TUC print media technology, TITV Greiz

Aim: The aim is to combine printed sensors based on CNT/polymer composites and conductively structured textile surfaces in such a way that universally applicable textile sensor surfaces for pressure and humidity monitoring are created, which are particularly suitable for applications in the care sector. In contrast to previous measuring systems, multifunctional sensors are to be implemented with simultaneously improved sensor properties (higher sensitivity, larger measuring range, high flexibility). For this purpose, the precisely printed sensors are connected to large textile surfaces using robust metallized yarns.

Funded by the SAB and EFFRE funds, duration: 1/2020 - 04/2022 (28 months)

Partners: TUC measurement and sensor technology, Fraunhofer Institute for Machine Tools and Forming Technology (IWU), Scherdel Marienberg GmbH, ANDAV electronics GmbH i. G., IDT Industrial and Sealing Technology Works Kupferring GmbH

Aim: The aim of the project, TP 1.3, is the development of a novel clamping concept based on shape memory alloys (SMA). This makes it possible to individually and precisely set the preload force during stack assembly and, above all, during operation, depending on the stack temperature. The temperature of the fuel cell stack and an external energy supply can be used for this. In the event of increased performance requirements, for example, an active increase in the preload force between the bipolar plates can be implemented, which keeps the stack in the optimum operating range.

At the same time, the goal is to integrate smart seals into existing stack structures. On the one hand, the preload forces applied and the resulting pressure on the seals can be directly linked and the amount of preload can be monitored. Reductions in preload force as a result of a drop in pressure can thus be continuously recorded and corrected by the adaptive stack bracing. In addition, it is possible to monitor the pressure distribution over the sealing surface. Different pressure distributions (e.g. due to shape and position deviations of the stack components) can be recorded and locally adjusted by external control of individual SMA elements.

Funded by sponsors: beginning 08/10/2020 - beginning 07/10/2022

Partners: TUC measurement and sensor technology (Germany), imk automotive GmbH, Institute for Mechatronics e. V

Goal: SimKra pursues the goal of digitally securing assembly processes by means of a parameterized simulation of joining forces in order to at least reduce the aforementioned health risks for the workers involved in assembly, which also increases the profitability of the company. The design of humane and economical processes requires precise and efficient determination of joining forces and times. For this reason, a methodology is being developed as part of the SimKra research project, which makes it possible to determine the joining forces acting during manual joining and the loads in the hand-arm system as part of virtual production planning according to ergonomically and economically relevant criteria Properties of the joining partners, joining point, coupling and environmental conditions are taken into account in the forecast model to be developed for the determination of joining forces. The prognosis model is created from extensive measurements in connection with FEM simulations. The basis for the numerical model to be developed is an extensive series of measurements, which include both idealized standardized measurements and practical measurements using various measuring instruments and subjects. In order to collect valid force data, force measurement methods, sensors and a corresponding force measuring stand must be designed with which the joining conditions and the work execution can be varied and their influence on the joining force can be mapped in the model.

(SenseCare)

 

 

 

Novel sensors and measurement methods based on impedance spectroscopy

Funded by the BMWi as part of the ZIM program, duration 2020 - 2022

Partners: TUC measurement and sensor technology, Steinbeis Innovation GmbH, Weber Schweissmaschinen GmbH, Waldemar Frank Formenbau GmbH

Objective: The monitoring of the seam connection quality during the welding process offers the advantages of the material-technological characterization of the weld pool with regard to the solidification process of the seam geometry to be mapped, the detection of possible defects and the description of the heating and cooling processes of the materials during welding. An inline sensor and control system is to be developed that records the magnetic and electrical properties of the workpiece via a suitable profile using a large number of sensor elements. The approach pursued is intended to ensure the quality assurance of the welding process and the resilience of the weld seam, despite the extreme temperatures and the strong electromagnetic fields generated by the arc.

Funded by the BMWi as part of the ZIM program, duration 2020 - 2022

Partners: TUC measurement and sensor technology, BS Banktechnik GmbH

Objective: Coin counting and classification machines use the combined information from several sensors to implement a classification into real coins and counterfeits. Due to typical production-related deviations in the sensors, the classes and class limits in the classification algorithms must be individually adapted to the individual system in multi-sensor systems. The aim of the project is to automate this process. For this purpose, methods such as supervised learning, support vector machines, neural networks and unsupervised learning are to be implemented and evaluated. For example, if a new type of counterfeit occurs repeatedly, the system can independently send a signal to the user and manufacturer.

Funded by the German Academic Exchange Service (DAAD), Duration: 3/2019 - 12/2021 (33 months)

Partners: TUC Measurement and Sensor Technology (MST), Digital Research Center of Sfax (CRNS)

Aim: The aim of the project is to develop a platform for wearable bioimpedance measuring devices for health monitoring and tissue diagnosis. This requires an accurate and broadband excitation and a fast, low-cost measurement. The possibilities for implementing broadband excitation signals on embedded systems are investigated. Several architectures for designing voltage controlled current sources are studied and compared. The project aims to apply bioimpedance together with specialists from medicine and sports.

 

Funded by the Ministry of Higher Education (Tunisia), Duration: 5/2020 - 4/2022 (24 months)

Partners: TUC Measurement and Sensor Technology (MST), Ecole Nationale d'Ingénieurs de Sousse, Ecole Nationale d'Ingénieurs de Sfax, Ecole Nationale d'Eléctronique et des Telecommunications, Hôpital Farhat Hached Sousse

Goal: The goal of the project is the development of an assistance system for people with acute or chronic respiratory insufficiency. The system consists of an artificial ventilator, a non-invasive system for tomographic measurement of the electrical impedance of the lungs and a platform for remote monitoring/diagnosis of patients in the ICU or at home. A digital platform will ensure collaborative telediagnosis and tele-expertise, especially in areas with low medical demographics.

 

Funded by the IEEE, duration 12 months

Aim: In this project, a laboratory course is developed based on low-cost, open source platforms for a comprehensive practical education in instrumentation at different levels of study. The developed laboratory course enables students to acquire practical and scientific knowledge in different aspects, like measurement methods, sensor principles, signal conditioning, data acquisition and sensor signal processing.

 

  • Educational initiative showcase electromobility Bavaria/Saxony
  • Development of a light management system for the eParabike
  • Measurement and qualification of batteries (Industrial order)
  • Chemnitz Initiative Technologies for Electromobility "CITE"
  • Project Smart-lic (Smart Battery Management System Module for Integration into Li-Ion Cells for Fully Electric Vehicles) within the European Green Cars Initiative
  • Junior Research Group: Adaptive Drives for Electromobility (AdAntE)
  • Junior Research Group "Intelligent Decentralized Energy Storage Systems" (IDE)
  • Project LiFive (lithium, five volts) within the Innovation Alliance Li-Ion (LIB2015)
  • Cable monitoring with Time Domain Reflectometry (TDR)
  • Quality assessment of food with impedance spectroscopy
  • Investigations on inductive proximity sensors (Industrial order)
  • Conception of a modular impedance measurement system for the low to medium frequency range (Industrial order)

Wireless sensors and energy harvesting

  • Ko²SiBus Continuous and cost-effective signal monitoring for industrial bus systems (IGF)
  • Development and implementation of a model for calculating hysteresis for a transfer standard
  • Distributed sensor network for slope monitoring (SENBÜ)
  • Wireless sensor system with helical kinetic energy converter for commercial vehicles
  • Transnationale Nachwuchsforschergruppe: Autarke Intelligente Sensornetze in der Produktion (AiS)
  • Energy harvesting for the energy supply of a self-sufficient sensor system for rail vehicles (Industrial order)
  • Participation in the nanett competence network: Project area B: Autonomous sensor nodes
  • Self-sufficient sensor network for monitoring in energy technology (ASTROSE)
  • Energy management for systems with energy harvesting (Industrial order)
  • Power measurement in standby mode (Industrial order)

Electrochemical sensors

Funded by the SAB as part of the TG 70 program, duration: 2020 - 2023

Partners: TUC control technology and system dynamics, TUC measurement and sensor technology, TUC applied analysis,

Goal: The goal of this project is the development of intelligent systems, which are required for the resource-efficient production of healthy food in coupled agricultural production systems. The role of the Professorship of Measurement and Sensor Technology MST is the development of suitable sensors that enable the digitization, optimization and control of these complex biotechnological, agricultural production systems.

Funded by the SMWA through ESF funds, duration 01.10.2018 - 30.09.2020

Partners: Corant GmbH, Chemnitz University of Technology, 3dvisionlabs GmbH

Objective: The research activities focus on the topics of health and safety, with the special objective of recognizing dangerous situations for people due to substances that are harmful to health and the resulting dangerous situations. The multimodal sensor box should be seamlessly integrated into the technology of living and working spaces. If desired, the recorded data should be able to be retrieved and processed centrally via an application on the mobile phone or in the browser. Message chains can also be implemented, for example to call for help and to transmit information about the situation on site directly to service providers and helpers. The integration into other systems should also be promoted by integrating standardized interfaces. For example, possibilities should be created to output alarm situations globally via all available devices in the network.

Hydromon, Funded by the BmBF, duration 30 months

Partners: TUC measurement and sensor technology, SEBA hydrology, JuB GmbH

Objective: The recording of water levels, flow velocities, wave propagation and other parameters is essential for civil protection during a flood. Measuring these parameters is particularly difficult in such situations. The partners in the "HydroMon" project are working on a sensor network that can monitor the environment in these situations. The network will work independently. It is powered by energy harvesting and communicates wirelessly. Ease of installation is just as important as low cost so that the system can be used in both developed and developing countries. It is easy to install and reliably provides information to emergency management.

DAAD

 

 

                                    

Humans effortlessly coordinate with one another because of their ability to communicate, recognize intention, and control movement. They dodge each other skillfully or hand over objects without a time delay. In order for encounters and cooperation in hybrid societies to be similarly fluid, it is necessary to achieve efficient coordination between humans and embodied technologies such as robots. This requires knowledge of human interactions and technical skills.

Therefore, researchers from the fields of psychology, engineering, computer science, movement sciences, linguistics, gesture research, sociology, physics, mathematics, and law work closely together in the CRC "Hybrid Societies." The scientific questions related to new forms of human-technology interaction which arise from the rapid development of embodied technologies. Embodied technologies include those that are partially or temporarily controlled by humans, such as bionic prostheses or telepresence robots and avatars in virtual realities.

For more information, see : https://hybrid-societies.org/

In 2013, experts in impedance spectroscopy created the CEIS with the aim of serving as a platform for promoting the fundamental development of the method and as a steering committee for IWIS, proposing experts for plenary meetings and tutorials every year and also joint ventures in the field Impedance spectroscopy (IS) and electrochemical impedance spectroscopy (EIS) are funded.

For more information, see :  (CEIS)

Current technological development enables highly complex, intelligent, adaptable and autonomous cyber-engineered systems that can support, complement and surpass human cognitive abilities and skills in solving the new challenges of tomorrow. This constant further development of increasingly powerful and intelligent technologies is currently leading to equally new and complex challenges in dynamic production systems, which must be mastered quickly and consistently. A central challenge in the field of production systems in the future will be to solve highly complex problems with countless parameters that far exceed the capacities of individuals and conventional human teams. Therefore, in order to solve these problems and increase productivity, it is ultimately necessary to form teams of people and production systems that specialize in such “teaming” between people and production systems. "Productive Teaming" is a joint research initiative of the TU Chemnitz, the TU Ilmenau and the OVGU Magdeburg, which has developed from the already existing research and innovation network "CHIM". The aim of this initiative is to use overarching themes to better understand the teaming between human and artificial agents and to find an answer to the following research question, among others: Can intelligent systems be cognitively augmented in such a way that they are able to use the skills and Dynamically anticipate the needs of the team partner within this process?

Further information on the research initiative can be found here: CHIM.